The IASP classification of chronic pain for ICD-11: chronic primary pain

Michael K. Nicholas(The University of Sydney), Johan W.S. Vlaeyen(Maastricht University), Winfried Rief(Philipps University of Marburg), Antonia Barke(Philipps University of Marburg), Qasim Aziz(Queen Mary University of London), Rafael Benoliel(Rutgers, The State University of New Jersey), Milton Cohen(St Vincent's Clinic), Stefan Evers(University of Münster), Maria Adele Giamberardino(University of Chieti-Pescara), Andreas Göebel(University of Liverpool), Beatrice Korwisi(Philipps University of Marburg), Serge Perrot(Délégation Paris 5), Peter Svensson(Aarhus University), Shuu‐Jiun Wang(National Yang Ming Chiao Tung University), Rolf‐Detlef Treede(Heidelberg University), The IASP Taskforce for the Classification of Chronic Pain(Apple (Israel))
Pain
December 22, 2018
Cited by 1,326Open Access
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Abstract

This article describes a proposal for the new diagnosis of chronic primary pain (CPP) in ICD-11. Chronic primary pain is chosen when pain has persisted for more than 3 months and is associated with significant emotional distress and/or functional disability, and the pain is not better accounted for by another condition. As with all pain, the article assumes a biopsychosocial framework for understanding CPP, which means all subtypes of the diagnosis are considered to be multifactorial in nature, with biological, psychological, and social factors contributing to each. Unlike the perspectives found in DSM-5 and ICD-10, the diagnosis of CPP is considered to be appropriate independently of identified biological or psychological contributors, unless another diagnosis would better account for the presenting symptoms. Such other diagnoses are called "chronic secondary pain" where pain may at least initially be conceived as a symptom secondary to an underlying disease. The goal here is to create a classification that is useful in both primary care and specialized pain management settings for the development of individualized management plans, and to assist both clinicians and researchers by providing a more accurate description of each diagnostic category.


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